Jialin Hong

2.7k total citations
141 papers, 1.6k citations indexed

About

Jialin Hong is a scholar working on Numerical Analysis, Finance and Computational Mechanics. According to data from OpenAlex, Jialin Hong has authored 141 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Numerical Analysis, 50 papers in Finance and 34 papers in Computational Mechanics. Recurrent topics in Jialin Hong's work include Stochastic processes and financial applications (50 papers), Numerical methods for differential equations (49 papers) and Advanced Numerical Methods in Computational Mathematics (28 papers). Jialin Hong is often cited by papers focused on Stochastic processes and financial applications (50 papers), Numerical methods for differential equations (49 papers) and Advanced Numerical Methods in Computational Mathematics (28 papers). Jialin Hong collaborates with scholars based in China, Hong Kong and United States. Jialin Hong's co-authors include Jianbo Cui, Linghua Kong, Chuchu Chen, Shanshan Jiang, Rafael Obaya, Jingjing Zhang, Chun Li, Chun Li, Pavel G. Тalalay and Weien Zhou and has published in prestigious journals such as Journal of Computational Physics, Mathematics of Computation and Computer Physics Communications.

In The Last Decade

Jialin Hong

138 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jialin Hong China 23 865 461 451 343 317 141 1.6k
Matthias Ehrhardt Germany 21 439 0.5× 267 0.6× 280 0.6× 540 1.6× 300 0.9× 150 1.7k
Assyr Abdulle Switzerland 25 397 0.5× 213 0.5× 1.3k 2.9× 140 0.4× 185 0.6× 89 2.0k
R. A. Nicolaides United States 27 425 0.5× 138 0.3× 1.6k 3.6× 353 1.0× 193 0.6× 70 2.2k
Zhonghua Qiao Hong Kong 27 1.0k 1.2× 37 0.1× 1.5k 3.2× 182 0.5× 138 0.4× 89 2.5k
Bruno D. Welfert United States 15 329 0.4× 68 0.1× 509 1.1× 152 0.4× 93 0.3× 67 974
Luigi Brugnano Italy 28 1.8k 2.1× 53 0.1× 842 1.9× 615 1.8× 361 1.1× 121 2.2k
Steve Shkoller United States 29 503 0.6× 65 0.1× 1.1k 2.5× 81 0.2× 511 1.6× 67 2.5k
Tony Shardlow United Kingdom 17 149 0.2× 340 0.7× 230 0.5× 22 0.1× 166 0.5× 35 954
Anders Szepessy Sweden 19 276 0.3× 82 0.2× 1.3k 2.8× 86 0.3× 83 0.3× 50 1.6k
Hailiang Liu United States 26 505 0.6× 33 0.1× 1.3k 2.9× 178 0.5× 430 1.4× 129 2.3k

Countries citing papers authored by Jialin Hong

Since Specialization
Citations

This map shows the geographic impact of Jialin Hong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jialin Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialin Hong more than expected).

Fields of papers citing papers by Jialin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jialin Hong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jialin Hong. The network helps show where Jialin Hong may publish in the future.

Co-authorship network of co-authors of Jialin Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Jialin Hong. A scholar is included among the top collaborators of Jialin Hong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jialin Hong. Jialin Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cui, Jianbo, et al.. (2024). Strong convergence rate of an exponentially integrable scheme for stochastic nonlinear wave equation. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2(3). 215–245. 1 indexed citations
2.
Chen, Chuchu, et al.. (2023). Numerical Approximations of Stochastic Maxwell Equations. Lecture notes in mathematics. 1 indexed citations
3.
Hong, Jialin, et al.. (2023). Strong error analysis of Euler methods for overdamped generalized Langevin equations with fractional noise: Nonlinear case. ESAIM. Mathematical modelling and numerical analysis. 57(4). 1981–2006. 1 indexed citations
4.
Chen, Chuchu, Jialin Hong, & Yulan Lu. (2022). Stochastic differential equation with piecewise continuous arguments: Markov property, invariant measure and numerical approximation. Discrete and Continuous Dynamical Systems - B. 28(1). 765–765. 5 indexed citations
5.
Тalalay, Pavel G., Yazhou Li, Laurent Augustin, et al.. (2020). Geothermal heat flux from measured temperature profiles in deep ice boreholes in Antarctica. ˜The œcryosphere. 14(11). 4021–4037. 21 indexed citations
6.
Тalalay, Pavel G., Yazhou Li, Laurent Augustin, et al.. (2020). Geothermal flux beneath the Antarctic Ice Sheet derived from measured temperature profiles in deep boreholes. 1 indexed citations
7.
Hong, Jialin, et al.. (2019). Optimal regularity of stochastic evolution equations in M-type 2 Banach spaces. Journal of Differential Equations. 267(3). 1955–1971. 1 indexed citations
8.
Cui, Jianbo, et al.. (2018). Strong convergence rate of a full discretization for stochastic Cahn--Hilliard equation driven by space-time white noise. arXiv (Cornell University). 1 indexed citations
9.
Cui, Jianbo, et al.. (2018). Strong convergence rate of splitting schemes for stochastic nonlinear Schrödinger equations. Journal of Differential Equations. 266(9). 5625–5663. 36 indexed citations
10.
Hong, Jialin, et al.. (2018). Well-posedness and optimal regularity of stochastic evolution equations with multiplicative noises. Journal of Differential Equations. 266(8). 4712–4745. 7 indexed citations
11.
Hong, Jialin, et al.. (2018). Optimal error estimate of conservative local discontinuous Galerkin method for nonlinear Schrödinger equation. Applied Numerical Mathematics. 127. 164–178. 19 indexed citations
12.
Hong, Jialin, et al.. (2017). Strong convergence rate for two classes of implementable methods for SDEs driven by fractional Brownian motions. arXiv (Cornell University). 1 indexed citations
13.
Cui, Jianbo, et al.. (2017). Explicit pseudo-symplectic methods for stochastic Hamiltonian systems. BIT Numerical Mathematics. 58(1). 163–178. 6 indexed citations
14.
Zhou, Weien, Jingjing Zhang, Jialin Hong, & Songhe Song. (2017). Stochastic symplectic Runge–Kutta methods for the strong approximation of Hamiltonian systems with additive noise. Journal of Computational and Applied Mathematics. 325. 134–148. 10 indexed citations
15.
Zhou, Weien, Liying Zhang, Jialin Hong, & Songhe Song. (2016). Projection methods for stochastic differential equations with conserved quantities. BIT Numerical Mathematics. 56(4). 1497–1518. 15 indexed citations
16.
Cao, Yanzhao, et al.. (2015). Finite Element Approximations for Elliptic SPDEs with Additive Gaussian Noises. arXiv (Cornell University). 1 indexed citations
17.
Kong, Linghua, et al.. (2009). Symplectic integrator for nonlinear high order Schrödinger equation with a trapped term. Journal of Computational and Applied Mathematics. 231(2). 664–679. 10 indexed citations
18.
Hong, Jialin, Hongyu Liu, & Geng Sun. (2005). Spurious behavior of a symplectic integrator. Computers & Mathematics with Applications. 50(3-4). 519–528. 4 indexed citations
19.
Hong, Jialin, et al.. (2000). Absolutely continuous dynamics and real coboundary cocycles in $L^p$-spaces, 0 < p < ∞. Studia Mathematica. 138(2). 121–134. 5 indexed citations
20.
Hong, Jialin, et al.. (2000). Symplectic integrations of inear discontinuous hamiltonian systems and an application to the numerical simulation of bounded solutions. Neural, Parallel & Scientific Computations archive. 8(3). 317–326. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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